城市规划学刊Issue(4)：87-94,8.DOI:10.16361/j.upf.202204011
基于公交卡数据的城市多尺度职住空间结构特征：以厦门为例
Structural Characteristics of Multiscale Jobs-housing Space Based on SCD: A Case Study of Xiamen
摘要
Abstract
Understanding the structural characteristics of multiscale jobs-housing spaces can help rationally design such spaces. It is of great significance because rational layout serves to reduce resource waste, alleviate traffic congestion, and improve the ecological environment. The paper takes Xiamen as an example and builds the analysis based on Smart Card Data. The jobs-housing OD matrix is obtained by the identification method. Curve fitting and spatial community detection algorithm are applied to study the structural characteristics of jobs-housing spaces at the macro-level, the median level and the micro-level. Due to the existence of scale effect, simple application of community detection algorithm tends to cause misjudgment of structural features. To make up for this deficiency, the polycentric structure at a larger scale is analyzed by defining the global employment center. The global, macro, median and micro jobs-housing commuting circles are constructed respectively to further reveal the operational characteristics of the jobs-housing spatial structure. The results show that the coupling of commuting circles at different levels reflects the operational characteristics of multiscale jobs-housing spatial structure in Xiamen. The study provides a reference for the adjustment of multiscale urban spatial structure in Xiamen.关键词
空间结构/多尺度/职住空间/社区划分/厦门Key words
spatial structure/multiscale/jobs-housing space/community division/Xiamen分类
建筑与水利引用本文复制引用
史瑞铮,高悦尔,杨春..基于公交卡数据的城市多尺度职住空间结构特征：以厦门为例[J].城市规划学刊,2022,(4):87-94,8.基金项目
国家自然科学基金面上项目：“面向复杂网络的城市大运量公交站点影响区空间关系识别与土地利用模式研究（2021—2024）”，（项目批准号：52078224） （）
